Fangjun Li

University of Leeds

H-index: 3

Europe-United Kingdom

About Fangjun Li

Fangjun Li, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Leeds, specializes in the field of machine learning, robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark

Ontology Knowledge-enhanced In-Context Learning for Action-Effect Prediction

Exploring the GLIDE model for Human Action-effect Prediction

Online perceptual learning and natural language acquisition for autonomous robots

An improved clear cell renal cell carcinoma stage prediction model based on gene sets

Fangjun Li Information

University	University of Leeds
Position	___
Citations(all)	33
Citations(since 2020)	33
Cited By	3
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	1
i10Index(since 2020)	1
Email	Access Email
University Profile Page	University of Leeds
Google Scholar	View Google Scholar Profile

Fangjun Li Skills & Research Interests

machine learning

robotics

Fangjun Li

University of Leeds

About Fangjun Li

Fangjun Li Information

Fangjun Li Skills & Research Interests

Top articles of Fangjun Li

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark

Fangjun Li

David C Hogg

Ontology Knowledge-enhanced In-Context Learning for Action-Effect Prediction

Fangjun Li

Exploring the GLIDE model for Human Action-effect Prediction

Fangjun Li

David C Hogg

Online perceptual learning and natural language acquisition for autonomous robots

Fangjun Li

David C Hogg

An improved clear cell renal cell carcinoma stage prediction model based on gene sets

Fangjun Li

Mu Yang

Mingqiang Zhang

Wenjuan Wang

Co-Authors

Anthony (Tony) G Cohn

David C Hogg